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Welcome to the Applied Bioinformatics Laboratory at KU


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Important news

The Third Functional Genomics and Bioinformatics Workshop was held on Aug 13, 2009. It was also a success. The feedback from the audience was again very positive. We are planning to offer the workshop every summer.
The Applied Bioinformatics Lab (ABL) is a specialized service lab providing informatics supports to the KU researchers (and their external collaborators). Currently the ABL staff can assist researchers for the following tasks: consultation on experimental design involving data acquisition, management and analysis; data analysis and mining in proteomics, genomics, and HTS using statistical and machine learning approaches; developing relational databases and software applications; structure prediction, function annotation/prediction, sequence and domain analysis of proteins; phylogenetic analysis; etc. We work closely with the KU Analytical Proteomics Lab, High Throughput Screening Lab, Genomics Facility, and many other facilities where data are produced.
Services are provided in the form of fee-based consultation for well defined informatics analyses, or collaborative projects requiring longer-term commitment of time and effort. We also provide training in software programming and data analysis in the forms of workshops and one-to-one sessions.
Free Weekly Bioinformatics Walk-in Hour
2 pm - 3 pm, Wednesday
Room 114, Structural Biology Center, west campus
It is on a first-come-first-serve basis and so no appointment is required. The walk-in hour was designed as a resource for researchers who only need informal input or help on simple questions. Faculty, staff, fellows and students are all welcome to stop by. You can certainly make an appointment with us for other time.
Contact
Jianwen Fang, Ph.D.
Director, Applied Bioinformatics Laboratory
Office: 114 Structural Biology Center
Phone: (785) 864-3349
Email: jwfang@ku.edu
Pricing and Grant policy
We rely on service fees to recoup operating expenses, purchase and maintain hardware/software. Typically, funding support is required via hourly rates, or arranged as a percent effort of sponsored research. However, The initial consulting session (~ of up to one hour) is available at no charge for a new project.
Authorship policy
Co-authorship on scientific articles is generally expected on studies where substantive input on experimental design and data analysis is provided. It is our policy not to forego funding in return for co-authorship.